Hi All,
I have 2 problems :
+ I don't know if one can assign ONE Startingpoint when using Nminimize.
Example:
f[S_, T_] := S^2 + (T - 10)^2;
NMinimize[f[S, T], {{S, 2, 2.000001}, {T, 4, 4.00001}},
Method -> {"NelderMead", "InitialPoints" -> {{-2, 30}}}];
As you see, here i have an Initial region: {{S, 2, 2.000001}, {T, 4, 4.00001}}. The
"InitialPoints" serve only as a reference for the final result.
Now, i want Nminimize to take Exactly one Starting point (that i give For example {2,4}, not one region). Is it possible??? Sory if the question was already asked.
++ In addition, i observe that the Nminimize's iterations strongly depend on that Initial region. (Not in this simple case but in what i'm doing). Meaning:
We can have different result when the Initial region is larger (For example)
{{S, 2, 4}, {T, 4, 6}}
or smaller {{S, 2, 2.0000001}, {T, 4, 4.000001}}.
I do not see why??? because i think that this is just a starting point and the Initial region
can not influence the result of the optimization.
If someone have experiences about that two questions?
Thanks a lot and regard,
Anh.